Granting DSaPP Direct Access to Data

Some partners prefer we do our work on their systems. From the partner’s perspective, this may have significant benefits: The partner retains control of the data, and it is easier to deploy our work at the end of the project.

Partners who choose this approach need to provide us with the computational resources necessary to handle our machine-learning pipeline. For most projects, we can do well with 2-4 cores, 16-32 GB of RAM, and 500 GB of disk space. The more computational resources we get, the faster we can build good models.